MICROSOFT CODENAME “DATA EXPLORER”Find, Enrich and Combine Data from Multiple Sources

Faisal MohamoodLead Program Manager

Miguel LlopisProgram Manager

“Data Explorer” is a self-service experience in the cloud and on the desktop for discovering, transforming and publishing datasets in various formats from a variety of sources, including the Windows

Azure Marketplace.

Find Relevant Data Combine and Enrich Data Share and Collaborate

MICROSOFT CODENAME “DATA EXPLORER”Harness the richness of data on the web and on-premises

FIND RELEVANT DATADemocratizing data access across the enterprise

Acquire and consolidate data from multiple sources into a single dataset

• Discover relevant data and services via automatic recommendations from the Windows Azure Marketplace

• Relevant data is recommended based on semantic analysis of your data, your profile and the context of your task

COMBINE AND ENRICH DATADemocratizing data access across the enterprise

• Enrich your data by composing it with data from various sources and transforming it for consumption in different scenarios

• Take data snapshots or create an automated data integration process for getting the most refreshed data on demand

Combine data from different, incompatible sources

SHARE AND COLLABORATEDemocratizing data access across the enterprise

• Collaborate with colleagues to refine the data

• Seamlessly publish composite snapshots or the data integration process via a one-step process

• Generate data feeds that can be consumed by other tools like Excel or PowerPivot

Share results with others in a web-friendly way

DATA EXPLORER IN ACTIONExample Usage Scenarios

“I have a hunch”

“Will this data meet my needs?”

“What does this data really represent?”

Exploring

“I want to prepare data and share it with others”

“I want to create an ‘authoritative’ data set”

“I want to sell some data that I own”

Sharing

Answering“I need to answer a question”

“I have some rough cut queries to share”

“I want to publish my findings”

DATA EXPLORER IN ACTIONTarget Audiences

Exploring, consuming and preparing data

Using Excel, PowerPivot and Power View for analysis

Sharing Datasets with peers

Information Workers

Developers building immersive apps

Building new “views” to data-bind with

Publishing feeds/mashups for web consumption

Developers

IT pros building custom ETL solutions for IWs

Building datasets & models for IW’s to consume in PowerPivot

Scheduling jobs to keep decision support data “fresh”

Filling SharePoint or SQL with new datasets

Data Engineers

Demo

LEARN MORE

Get access to Data Explorer today: http://dataexplorer.sqlazurelabs.com

Learn More:- Blog: http://blogs.msdn.com/dataexplorer- SQLAzureLabs: http://www.sqlazurelabs.com

Contacts:- Faisal Mohamood (faisalmo@microsoft.com)- Miguel Llopis (millopis@microsoft.com)